Optimization of Cutting Parameters using CCD Method in RSM and Genetic Algorithm for AISI 4140 Steel Alloy
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Abstract
AISI 4140 steel alloys has repetitive applications in modern industry to cater the need of the society. AISI 4140 steel has applications in manufacturing of nuts, bolts, gears and static load bearing shafts etc. In this work, surface roughness (SR) of the machined AISI 4140 is evaluated after varying the feed in the range of 0.15 to 0.45 mm/revolution, tool rotational speed in range of 700 to 1300 rpm and depth of cut in the range of 2 to 6 mm. 20 experiments are suggested by RSM with face centred CCD design. With desirability 1, RSM predicts the optimal input parameters to minimize the SR complimented with a regression analysis. Further the developed model is solved in GA to get the optimum input parametric setting for achieving the better SR. A confirmation experiment is conducted in real time and average value suggested by RSM and RSM-GA of SR is compared and found that low percentage of error occurred in later case.
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